Affiliation:
1. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford
2. Department of Global Health and Development, London School of Hygiene and Tropical Medicine , United Kingdom
Abstract
Abstract
Background
Great progress is being made toward the goal of elimination as a public health problem for neglected tropical diseases such as leprosy, human African trypanosomiasis, Buruli ulcer, and visceral leishmaniasis, which relies on intensified disease management and case finding. However, strategies for maintaining this goal are still under discussion. Passive surveillance is a core pillar of a long-term, sustainable surveillance program.
Methods
We use a generic model of disease transmission with slow epidemic growth rates and cases detected through severe symptoms and passive detection to evaluate under what circumstances passive detection alone can keep transmission under control.
Results
Reducing the period of infectiousness due to decreasing time to treatment has a small effect on reducing transmission. Therefore, to prevent resurgence, passive surveillance needs to be very efficient. For some diseases, the treatment time and level of passive detection needed to prevent resurgence is unlikely to be obtainable.
Conclusions
The success of a passive surveillance program crucially depends on what proportion of cases are detected, how much of their infectious period is reduced, and the underlying reproduction number of the disease. Modeling suggests that relying on passive detection alone is unlikely to be enough to maintain elimination goals.
Funder
Bill & Melinda Gates Foundation
NTD Modelling Consortium
Publisher
Oxford University Press (OUP)
Cited by
1 articles.
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